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Scikit-learn @ Inria foundation
- Paris-Saclay / France
- https://glemaitre.github.io/
- @glemaitre
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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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INRIA/scikit-learn-mooc Public
Machine learning in Python with scikit-learn MOOC
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Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications
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1,560 contributions in the last year
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Activity overview
Contributed to
scikit-learn/scikit-learn,
INRIA/scikit-learn-mooc,
euroscipy/euroscipy.github.io
and 57 other
repositories
Contribution activity
October 2022
Created 28 commits in 5 repositories
Created 1 repository
- glemaitre/visualization Jupyter Notebook
Created a pull request in scikit-learn/scikit-learn that received 16 comments
MAINT warn for Windows 32bits OS and Python regarding build dependencies
Linked to #24604 Windows 32 bits or Python 32 bits on Windows 64 bits will have issues building scikit-learn with recent SciPy. This PR detects tho…
+41
−0
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16
comments
Opened 13 other pull requests in 2 repositories
scikit-learn/scikit-learn
8
merged
4
open
- DOC add more info about the drop of support for 32-bit Python on Windows
- MAINT Release 1.1.3 [cd build]
- FIX always scale continuous features to unit variance in mutual info
- DOC add entries for the 1.1.3 release
- MAINT force NumPy version for building scikit-learn for CPython 3.10 in Windows
- DOC fix a missing final fullstop in docstring
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DOC fix sphinx directive in
quantile_transformfunction - MAINT renable Linux + Python 3.8 build with OpenBLAS
- DOC fix deprecation warning raised by KMeans and Matplotlib
- DOC only use chi2 on binary and counts features
- FIX always expose best_loss_, validation_scores_, and best_validation_score
- EHN accept l2 metric with ward linkage in agglomeration clustering
Micky774/scikit-learn
1
open
Reviewed 29 pull requests in 4 repositories
scikit-learn/scikit-learn
24 pull requests
- ENH Add dtype preservation for Isomap
- DOC add more info about the drop of support for 32-bit Python on Windows
- ENH Add gamma='scale' option to RBFSampler
- DOC only use chi2 on binary and counts features
- FIX always expose best_loss_, validation_scores_, and best_validation_score
- FIX Fixes common test for requires_positive_X
- FIX always scale continuous features to unit variance in mutual info
- MAINT force NumPy version for building scikit-learn for CPython 3.10 in Windows
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API add option
dual="auto"for LinearSVC/LinearSVR - DOC Improve narrative of plot_roc_crossval example
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DOC Add
sphinx_highlight.jsto the search page. - ENH Improve set_output compatibility in ColumnTransformer
- ENH Extend PDP for nominal categorical features
- [ENH, REFACTOR, CYTHON] Adding base criterion class for tree submodule
- FIX check_estimator fails when validating SGDClassifier with log_loss
- ENH Makes OneToOneFeatureMixin and ClassNamePrefixFeaturesOutMixin public
- DOC use KBinsDiscretizer in lieu of KMeans in vector quantization example
- ENH: Stacking allow different type of estimators
- DOC Improve docstring around set_output
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DOC Ensures that
sklearn.utils.extmath.randomized_svdpasses numpydoc validation - DOC Use :doi: directive for KMeans
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Include
HDBSCANas a sub-module forsklearn.cluster - ENH Introduces set_output API for pandas output
- DOC Ensure that sklearn.utils.is_scalar_nan passes numpydoc validation





